In-Demand data scientist Jobs in forest lodge nsw

Data Scientist | Model & AI Risk
Macquarie Group Limited —Sydney NSW
- Full-time
- Remote
- SQL
- AI
- Communication skills
- Annual leave
- Work from home
Data Scientist | Risk Management
Macquarie Group Limited —Sydney NSW
- Full-time
- Remote
- Data analysis skills
- SQL
- AI
- Annual leave
- Work from home
Senior Data Scientist
Commonwealth Bank —Sydney NSW
- Full-time
- Azure
- SQL
- AWS
Director - Data & Analytics
Ashurst LLP —Sydney NSW
- AI
- Analytics
- Health insurance
- On-the-job training
Binance Accelerator Program - Applied Data Scientist
Binance —Sydney NSW
- Full-time
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Senior Data Scientist - DDAI
Westpac Group —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- AWS
Lead Data Scientist
Infosys Singapore & Australia —Sydney NSW
- Full-time
- Hybrid work
- Azure
- SQL
- AI
Quick Apply
Lead Data Scientist - Trading
Tabcorp —Sydney NSW
- Full-time
- SQL
- AWS
- Parental leave
Data Scientist, NLP & Trading Strategies (Quantitative)
Binance —Sydney NSW
- Full-time
- Remote
- Computer Science
- Master's degree
- Bachelor's degree
Quick Apply
Commercial Analyst (Data analysis/reporting)
Invisalign Australia —Sydney NSW
- Full-time
- Computer Science
- Sales
- Salesforce
- Employee discount
Quick Apply
Binance Accelerator Program - Data Scientist (AI/LLM)
Binance —Sydney NSW
- Remote
- Computer Science
- Master's degree
- AI
Quick Apply
Senior Data Analyst/Scientist
International Institute of Data & Analytics —Chippendale NSW
- Management
- SQL
- Scripting
Senior Product Data Scientist, Google Photos
Google —Sydney NSW
- Full-time
- Master's degree
- SQL
- Presentation skills
Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start
TikTok —Sydney NSW
- Doctoral degree
- Computer Science
- Engineering
Machine Learning Engineer (LLM/VLM) - Trust and Safety (Australia)
TikTok —Sydney NSW
- Master's degree
- Machine learning
- AI
Data Scientist (Search & Recommendation)
Binance —Sydney NSW
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Machine learning
Quick Apply
Machine Learning Engineer - Capital Investment - Data & AI - Sydney
The Argyle Network —Sydney NSW
- Full-time
- Hybrid work
- Azure
- Master's degree
- Databases
Data, AI, and Machine Learning | Multiple Opportunities Available
Deloitte —Sydney NSW
- Azure
- Engineering
- Master's degree
- Parental leave
Data Scientist Senior Manager- Gen AI, Agentic AI(Business Banking)
Commonwealth Bank —Sydney NSW
- Full-time
- Analysis skills
- APIs
- AI
Senior Data Scientist - 12 month FTC
TPG Telecom —Barangaroo NSW
- Full-time
- Hybrid work
- Azure
- SQL
- AWS

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Data Scientist | Model & AI Risk

Macquarie Group Limited -
Sydney NSW

Apply Now

Job Details

Permanent | Full-time

Benefits

Matched giving program
Annual leave
Work from home
Parental leave
Employee assistance program
Paid volunteer leave
Salary packaging

Qualifications

SQL
AI
Communication skills

Full Job Description

Our Model Risk Management team provides independent oversight and challenge of model and AI risks are well managed across Macquarie globally. We assess whether models and AI systems are fit for purpose, appropriately controlled, and aligned to the firm’s risk appetite and to regulatory expectations. The team plays a critical role in enabling safe adoption of models and AI by providing robust validation, clear challenge and sound risk-based decisions.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

As a Data Scientist within Model Risk Management, you will independently review, challenge and validate artificial intelligence use cases across the firm. Your work will assess whether AI systems are fit‑for‑purpose, operate as intended and ensure that the risks introduced are understood, appropriately controlled, and remain within the Macquarie’s risk appetite.

You will design and execute proportionate validation approaches, assess data, methodology, assumptions, and outcomes, and clearly articulate findings to technical and non‑technical stakeholders. Your analysis and judgement will directly inform model approvals, usage decisions, and risk acceptance.

Working closely with, but independently from, model developers, product owners, and business stakeholders, you will provide constructive challenge that enables safe and sustainable AI adoption. You will also contribute to the evolution of AI validation practices, tooling and standards within the team, sharing knowledge and strengthening collective capability.

What you offer

A courageous mindset and a demonstrated track record of self‑directed learning, with the curiosity and discipline to stay ahead of rapidly evolving AI techniques and risks
Attention to detail and a knack for identifying problems
Experience developing or independently reviewing and validating artificial intelligence, machine learning, or statistical models
Strong programming capability in Python, R, or SQL, with experience interrogating large and complex datasets
Familiarity with modern AI techniques, including large language models, their limitations, failure modes, and associated risks
Strong communication skills, with the ability to explain technical concepts and risk trade‑offs clearly to both technical and senior non‑technical stakeholders
A structured, analytical, and sceptical mindset, with the ability to form independent judgement to make sound, commercial decisions balancing risks and rewards and to prioritise work in a collaborative environment.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:

1 wellbeing leave day per year
Up to 5 additional service bonus leave days per year
Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
2 days of paid volunteer leave and donation matching
Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
Access to a wide range of salary packaging options
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
Hybrid and flexible working arrangements, dependent on role
Reimbursement for work from home equipment

About the Risk Management Group

Our Risk Management Group works as an independent, and centralised function, responsible for independent and objective review and challenge, oversight, monitoring and reporting in relation to Macquarie’s material risks. We are a global team that aims to manage the risks of today and anticipate the risks of tomorrow. Our divisions include compliance, credit, financial crime risk, market risk, operational risk, aggregate risk and prudential, and central.

Our commitment to diversity, equity and inclusion

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Apply Now

Refine Your Search

data scientist jobs in forest lodge nsw

Data Scientist | Model & AI Risk

Data Scientist | Risk Management

Senior Data Scientist

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Binance Accelerator Program - Applied Data Scientist

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Lead Data Scientist

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Data Scientist, NLP & Trading Strategies (Quantitative)

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Senior Product Data Scientist, Google Photos

Machine Learning Engineer Graduate, Trust and Safety Engineering - 2026 Start

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Machine Learning Engineer - Capital Investment - Data & AI - Sydney

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Senior Data Scientist - 12 month FTC

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